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Substance use: Interplay between polygenic risk and neighborhood environment

Authors :
Dorret I. Boomsma
Gonneke Willemsen
Jouke-Jan Hottenga
Karin J. H. Verweij
Joëlle A. Pasman
Jacqueline M. Vink
Iryna O. Fedko
Abdel Abdellaoui
Biological Psychology
APH - Health Behaviors & Chronic Diseases
APH - Personalized Medicine
APH - Mental Health
APH - Methodology
Adult Psychiatry
Source :
Drug and Alcohol Dependence, 209, Pasman, J A, Verweij, K J H, Abdellaoui, A, Hottenga, J J, Fedko, I O, Willemsen, G, Boomsma, D I & Vink, J M 2020, ' Substance use: Interplay between polygenic risk and neighborhood environment ', Drug and Alcohol Dependence, vol. 209, 107948, pp. 1-8 . https://doi.org/10.1016/j.drugalcdep.2020.107948, Drug and Alcohol Dependence, 209:107948, 1-8. Elsevier Ireland Ltd, Drug and alcohol dependence, 209:107948. Elsevier Ireland Ltd
Publication Year :
2020

Abstract

Contains fulltext : 216912.pdf (Publisher’s version ) (Open Access) Background: Tobacco, alcohol, and cannabis use are prevalent behaviors that pose considerable health risks. Genetic vulnerability and characteristics of the neighborhood of residence form important risk factors for substance use. Possibly, these factors do not act in isolation. This study tested the interaction between neighborhood characteristics and genetic risk (gene-environment interaction, GxE) and the association between these classes of risk factors (gene-environment correlation, rGE) in substance use. Methods: Two polygenic scores (PGS) each (based on different discovery datasets) were created for smoking initiation, cigarettes per day, and glasses of alcohol per week based on summary statistics of different genome-wide association studies (GWAS). For cannabis initiation one PGS was created. These PGS were used to predict their respective phenotype in a large population-based sample from the Netherlands Twin Register (N = 6,567). Neighborhood characteristics as retrieved from governmental registration systems were factor analyzed and resulting measures of socioeconomic status (SES) and metropolitanism were used as predictors. Results: There were (small) main effects of neighborhood characteristics and PGS on substance use. One of the 14 tested GxE effects was significant, such that the PGS was more strongly associated with alcohol use in individuals with high SES. This was effect was only significant for one out of two PGS. There were weak indications of rGE, mainly with age and cohort covariates. Conclusion: We conclude that both genetic and neighborhood-level factors are predictors for substance use. More research is needed to establish the robustness of the findings on the interplay between these factors. 8 p.

Details

Language :
English
ISSN :
03768716
Volume :
209
Database :
OpenAIRE
Journal :
Drug and Alcohol Dependence
Accession number :
edsair.doi.dedup.....81d7902885c09afa668f113f24bda1ac